Neural Network-Based Model to Predict Permanent Deformation Induced in the Subgrade by the Passage of the Trains
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20241-4_4
Reference24 articles.
1. Nielsen, J.C.O., Li, X.: Railway track geometry degradation due to differential settlement of ballast/subgrade – numerical prediction by an iterative procedure. J. Sound Vib. 412, 441–456 (2018)
2. Sadri, M., Lu, T., Zoeteman, A., Steenbergen, M.: Railway track design & degradation. In: MATEC Web of Conferences, Lisbon, Portugal (2018)
3. Ling, X., Li, P., Zhang, F., Zhao, Y., Li, Y., An, L.: Permanent deformation characteristics of coarse grained subgrade soils under train-induced repeated load. Adv. Mater. Sci. Eng. 2017, 15 (2017)
4. Ramos, A., Gomes Correia, A., Calçada, R., Alves Costa, P.: Stress and permanent deformation amplification factors in subgrade induced by dynamic mechanisms in track structures. Int. J. Rail Transport. 10(3), 298–330 (2021). https://doi.org/10.1080/23248378.2021.1922317
5. Hanandeh, S., Ardah, A., Abu-Farsakh, M.: Using artificial neural network and genetics algorithm to estimate the resilient modulus for stabilized subgrade and propose new empirical formula. Transport. Geotech. 24, 100358 (2020)
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